[1] Zhou Y, Yan K M. Domain adaptive adversarial learning based on physics model feedback for underwater image enhancement[EB/OL]. https://arxiv.org/abs/2002.09315

[2] Liu Y Y, Zhang J M, Wang K P et al. Fast underwater target recognition with unbalanced data set[J]. Computer Engineering and Applications, 56, 236-242(2020).

[3] Yuan H C, Zhang S. Detection of underwater fish based on Faster R-CNN and image enhancement[J]. Journal of Dalian Ocean University, 35, 612-619(2020).

[4] Zhang Z Q, Niu Z Y, Zhao S M. Identification of freshwater fish species based on computer vision[J]. Transactions of the Chinese Society of Agricultural Engineering, 27, 388-392(2011).

[5] Yao R L, Gui Y W, Huang Q G. Recognition of freshwater fish species based on machine vision[J]. Microcomputer & Its Applications, 36, 37-39(2017).

[6] Rova A, Mori G, Dill L M. One fish, two fish, butterfish, trumpeter: recognizing fish in underwater video[C], 404-407(2007).

[7] Zhu S W, Hang R L, Liu Q S. Underwater object detection based on the class-weighted YOLO net[J]. Journal of Nanjing Normal University (Natural Science Edition), 43, 129-135(2020).

[8] Qiang W, He Y Y, Guo Y J et al. Exploring underwater target detection algorithm based on improved SSD[J]. Journal of Northwestern Polytechnical University, 38, 747-754(2020).

[9] Liu P, Yang H B, Song Y. Marine biometric recognition algorithm based on improved YOLOv3 network[J]. Application Research of Computers, 37, 394-397(2020).

[10] Chen L, Liu Z H, Tong L et al. Underwater object detection using Invert Multi-Class Adaboost with deep learning[C](2020).

[11] Song S J, Zhu J X. Object recognition research of underwater creature based on Mask R-CNN and transfer learning[J]. Application Research of Computers, 37, 386-388, 391(2020).

[12] Jobson D J, Rahman Z, Woodell G A. A multiscale retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing, 6, 965-976(1997).

[13] Xu F Q, Dong P, Wang H B et al. Intelligent detection and autonomous capture system of seafood based on underwater robot[J]. Journal of Beijing University of Aeronautics and Astronautics, 45, 2393-2402(2019).

[14] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

[15] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[16] Fan Y C, Zhang L X, Guo H C et al. Image processing for laser imaging using adaptive homomorphic filtering and total variation[J]. Photonics, 7, 30(2020).

[17] Theckedath D, Sedamkar R R. Detecting affect states using VGG16, ResNet50 and SE-ResNet50 networks[J]. SN Computer Science, 1, 79(2020).

[18] Neubeck A, van Gool L. Efficient non-maximum suppression[C], 850-855(2006).

[19] Liu D, Zhang Y, Zhao Y et al. Multi-scale inshore ship detection based on feature re-focusing network[J]. Acta Optica Sinica, 41, 2215001(2021).

[20] Zhuang X L, Tan F K, Li Z et al. Image defogging algorithm based on dark channel prior and optimized auto-color[J]. Computer Applications and Software, 38, 190-195(2021).

[21] Liu S, Qi L, Qin H F et al. Path aggregation network for instance segmentation[C], 8759-8768(2018).

[22] Wang F S, Wang Q S, Chen J G et al. Improved faster R-CNN target detection algorithm based on attention mechanism and Soft-NMS[J]. Laser & Optoelectronics Progress, 58, 2420001(2021).

[23] Ju M R, Luo J N, Wang Z B et al. Multi-scale target detection algorithm based on attention mechanism[J]. Acta Optica Sinica, 40, 1315002(2020).

[24] Xue C H, Lu S J, Zhang W. MSR: multi-scale shape regression for scene text detection[C], 989-995(2019).

[25] Yang W J, Chen M, Feng G F. Fish recognition method for underwater video based on image enhancement[J]. Laser & Optoelectronics Progress, 58, 2211002(2021).